Smart Face Recognition Using Machine Learning

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@article{1701147,
      author = {V.Vinupriya, S.Aswathy, J.Kayalvizhi, M.Rakavi, A.Dharani},
      title = {Smart Face Recognition Using Machine Learning},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {10},
      pages = {208-211},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701147.pdf},
      abstract = {in current trend, Biometric Identification (BI) is one of the most researched topics. Face recognition is most important techniques in biometric identification. Face recognition is the method to identifying individual face, enhanced at a faster rate. This system is an important field of Computer Vision. In this paper, FRS is proposed. For recognizing a face we are using machine learning for high accuracy. Fisher face algorithm is a popular algorithm for recognizing a face in machine learning. The purpose of this research is establish a program of face recognition application using fisher face algorithm by utilizing GUI applications and databases that are used in the facial image. This algorithm is based on the principle of LDA (Linear discriminate analysis).The feature of this algorithm is effective in the case of occlusion and multi pose.},
      keywords = {Principal Component Analysis (PCA), Linear Discriminate Analysis (LDA), Biometric Identification (BI), Face Recognition System (FRS), Fisher linear discriminate (FLD).},
      month = {April},
  }